water.bindings.pojos

Class RandomDiscreteValueSearchCriteriaV99

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.HyperSpaceSearchCriteriaV99

water.bindings.pojos.RandomDiscreteValueSearchCriteriaV99

public class RandomDiscreteValueSearchCriteriaV99
extends HyperSpaceSearchCriteriaV99

Field Summary

Fields

Modifier and Type	Field and Description
int	maxModels Maximum number of models to build (optional).
double	maxRuntimeSecs Maximum time to spend building models (optional).
long	seed Seed for random number generator; set to a value other than -1 for reproducibility.
ScoreKeeperStoppingMetric	stoppingMetric Metric to use for early stopping (AUTO: logloss for classification, deviance for regression)
int	stoppingRounds Early stopping based on convergence of stopping_metric.
double	stoppingTolerance Relative tolerance for metric-based stopping criterion Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much)

Fields inherited from class water.bindings.pojos.HyperSpaceSearchCriteriaV99

strategy

Constructor Summary

Constructors

Constructor and Description
RandomDiscreteValueSearchCriteriaV99() Public constructor

Method Summary

Modifier and Type	Method and Description
java.lang.String	toString() Return the contents of this object as a JSON String.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

seed

public long seed

Seed for random number generator; set to a value other than -1 for reproducibility.

maxModels

public int maxModels

Maximum number of models to build (optional).

maxRuntimeSecs

public double maxRuntimeSecs

Maximum time to spend building models (optional).

stoppingRounds

public int stoppingRounds

Early stopping based on convergence of stopping_metric. Stop if simple moving average of length k of the stopping_metric does not improve for k:=stopping_rounds scoring events (0 to disable)

stoppingMetric

public ScoreKeeperStoppingMetric stoppingMetric

Metric to use for early stopping (AUTO: logloss for classification, deviance for regression)

stoppingTolerance

public double stoppingTolerance

Relative tolerance for metric-based stopping criterion Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much)

Constructor Detail

RandomDiscreteValueSearchCriteriaV99

public RandomDiscreteValueSearchCriteriaV99()

Public constructor

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class HyperSpaceSearchCriteriaV99